Backend Engineer • Python & Django • APIs • Data Pipelines • Automation
Building reliable, data-driven systems for healthcare & lab operations.
Open to remote freelance & long-term collaborations • EN / PT-BR
- Backend systems: Django / DRF APIs, authentication, permissions, filtering, and OpenAPI documentation
- Async workflows: Celery + Redis jobs, scheduled processing, progress tracking, and operational logs
- Data automation: validated CSV/Excel pipelines and automated PDF/XLSX reports
- Delivery foundations: Docker, PostgreSQL, CI, and S3-compatible artifact storage
| Project | Engineering focus | Validation |
|---|---|---|
| LabExportHub | NGS sample workflows, async CSV/XLSX/ZIP exports, JWT/RBAC, MinIO presigned URLs | Docker Compose, OpenAPI, 17 backend tests, frontend lint/build CI |
| Assay Run Orchestrator | Synthetic multi-organization assay runs, state transitions, QC, audit, and async manifests | Docker Compose, validated OpenAPI, 9 automated tests and CI |
| Partner Integration Gateway | HMAC ingestion, idempotency, normalized events, signed webhooks, and dead-letter tracking | Docker Compose, validated OpenAPI, 8 automated tests and CI |
| Healthcare API | Synthetic patient/sample/result API and background clinical PDF generation | JWT, validated OpenAPI, automated tests and CI |
| Excel to PDF Automation | Validated spreadsheet ingestion and asynchronous report generation | Docker Compose, automated tests and CI |
| Nebula Analytics | JWT-protected analytics API with a React dashboard | Backend tests plus frontend lint/build CI |
- Reliable lab and healthcare workflow automation using synthetic, portfolio-safe datasets
- API design, background processing, artifact delivery, testing, and CI
- Public projects that demonstrate patterns without exposing client code, data, or business rules


